Fuzzy controller hardware implementation for an EV's HESS energy management

Authors

  • Hatim Jbari Moulay Ismaïl University, National High School of Arts and Crafts of Meknes (ENSAM-Meknès), Team of Modelling, Information Processing and Control Systems (MPICS) B.P. 15290 EL Mansour Meknes 50500, Meknès, Morocco https://orcid.org/0000-0002-9265-8461
  • Rachid Askour Moulay Ismaïl University, National High School of Arts and Crafts of Meknes (ENSAM-Meknès), Team of Modelling, Information Processing and Control Systems (MPICS) B.P. 15290 EL Mansour Meknes 50500, Meknès, Morocco https://orcid.org/0000-0002-7062-0198
  • Badr Bououlid Idrissi Moulay Ismaïl University, National High School of Arts and Crafts of Meknes (ENSAM-Meknès), Team of Modelling, Information Processing and Control Systems (MPICS) B.P. 15290 EL Mansour Meknes 50500, Meknès, Morocco https://orcid.org/0000-0002-4391-1053

DOI:

https://doi.org/10.32985/ijeces.14.3.9

Keywords:

Fuzzy Logic Controller, Hardware-In-the-Loop, Hybrid Energy Storage System, STM32 microcontroller

Abstract

The recent technological advances related to embedded systems, and the increased requirements of the Electric Vehicle (EV) industry, lead to the evolution of design and validation methodologies applied to complex systems, in order to design a product that respects the requirements defined according to its performance, safety, and reliability. This research paper presents a design and validation methodology, based on a hardware-in-the-loop (HIL) approach, including a software platform represented by Matlab/ Simulink and a real-time STM32 microcontroller used as a hardware platform. The objective of this work is to evaluate and validate an Energy Management System (EMS) based on Fuzzy Logic Controller (FLC), developed in C code and embedded on an STM32 microcontroller. The developed EMS is designed to control, in real-time, the energy flow in a hybrid energy storage system (HESS), designed in an active topology, made of a Li-ion battery and Super-Capacitors (SC). The proposed HESS model was organized using the Energetic Macroscopic Representation (EMR) and constructed on Matlab/Simulink software platform. The evaluation and validation of the developed algorithm were performed by comparing the HIL and simulation results under the New European Driving Cycle (NEDC).

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Published

2023-03-22

How to Cite

[1]
H. Jbari, R. Askour, and B. Bououlid Idrissi, “Fuzzy controller hardware implementation for an EV’s HESS energy management”, IJECES, vol. 14, no. 3, pp. 311-320, Mar. 2023.

Issue

Section

Original Scientific Papers